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Artificial neural networks are a machine learning method ideal for solving classification and prediction problems using Big Data. Online social networks and virtual communities provide a plethora of data. Artificial neural networks have been used to determine the emotional meaning of virtual community posts, determine age and sex of users, classify types of messages, and make recommendations for additional content. This article reviews and examines the utilization of artificial neural networks in online social network and virtual community research. An artificial neural network to predict the maintenance of online social network "friends" is developed to demonstrate the applicability of artificial neural networks for virtual community research.

Artificial intelligence (AI) in general and artificial neural networks (ANN) in particular provide a tremendous amount of knowledge to improve managerial decision making. Additionally, these same ANN and AI techniques also serve as knowledge repositories and distribution schema for organizations that facilitate managerial leadership responsibilities. This article examines how various ANN and other AI applications may be adapted to facilitate managerial leadership, improve manager performance and in some cases perform management activities. Further research that classifies leadership styles and the desired qualities of leaders is reviewed.

Electronic information retrieval is becoming a necessity for most businesses, including medical practice. Agent technology promises to provide a facile means for intelligently searching the Internet. However, any agent or other electronic information placed onto the Internet poses a security risk. Encryption and firewalls are traditional methods for increasing Internet information security, but are these techniques sufficient to protect adequately electronic information carried by Internet agents? Need to know and partial information strategies are discussed as methods for improving information security for Internet agents.